SlideShare a Scribd company logo
1 of 18
MOLECULAR
VISUALIZATION
ALEN SHAJI
P1914015
INTRODUCTION
 Looking at molecular models in order to explore and understand them.
 Does not necessarily involve molecular modeling (changing the existing
model).
 Macromolecules – Protein, DNA, RNA, or their complexes.
 3-D view of different molecules on the computer.
REPRESENTATIONS OF MOLECULAR MODELS
ATOMIC REPRESENTATION
 It includes ball and stick, stick (wireframe), and spacefilling.
 These representations show positions of atoms and covalent bonds.
SLABBING
 A usefull way to see atomic details of a small part of a large macromolecular
model is to centre the moiety of interest, and then cut away front and back
portions of the molecules.
 It is usefull to see buried structures and their environments, such as the
hydrophobic core of a protein domain.
 It can be done using FirstGlance in Jmol.
SIMPLIFIED SCHEMATIC REPRESENTATIONS
BACKBONES
 Simplified representations of the polypeptide backbone or main chain, are
very helpful in understanding structure when it comes to large molecules such
as Proteins, DNA, RNA, and their complexes.
 Using FirstGlance in Jmol.
DISULFIDE BONDS
 FirstGlance in Jmol highlights disulfide bonds in one click, and has several
options for rendinering and coloring them.
COLOUR SCHEMES FOR MACROMOLECULES
 A set of standard color schemes for macromolecules, called DRuMS, was
released in 2000.
 Colors for chemical elements.
STRUCTURAL ANALYSIS
 Molecular function.
 Prediction of function.
 Experimental design to test predictions.
TYPES OF MOLECULAR VISUALIZATION
 WIRE FRAME MODEL.
 BALL AND STICK MODEL.
 RIBBON SHAPED MODEL.
 SPACE FILLING.
 SIMPLE HARMONIC MODEL.
 BACKBONE.
 SURFACE.
WIRE FRAME MODEL
 Skeletal form of molecules – represent as wires.
 Network of wire.
 Line represents the bonds.
 Shows individual bonds and corresponding angles.
RIBBON SHAPED MODEL
 Spherical or cylindrical ribbons.
 Display the folding and structure of proteins.
BALL AND STICK MODEL
 Ball represents the atoms.
 Stick represents the bonds.
 Shows atomic positions and bonds and volume.
SIMPLE HARMONIC MODEL
 Only represents grooves and projections in the molecules.
SPACE FILLING
 Spheres represents the electro cloud around nuclei of atoms.
 Relative size of atoms and groups show up clearly.
 Merged spheres represents the sharing of electrons.
RasMol
 Most frequently available tool.
 Derived from Raster and molecules.
 Molecular graphics programe.
 For visualizing proteins, nucleic acid and small molecules for which 3-D
structures is available.
 In order to display molecules, RasMol requires atomic coordinate file that
specifies the position of every atom in the molecule through its 3-D Cartesian
coordinates.
 RasMol accept this coordinate file variety of formats including Protein Data
Bank format.
 It provides user a choice of colour schemes and molecular representation.
 Additional features including test labelling for slected atoms, different colour
schemes of different parts of the molecule, zoom, rotation etc.
REFERENCE
 Jin Xiong (2007) Essential Bioinformatics, Cambridge University, PressIndia,
Pvt LTD.
 Wikipedia - Molecular Visualization, Bioinformatics.
THANK YOU

More Related Content

What's hot

Sequence alig Sequence Alignment Pairwise alignment:-
Sequence alig Sequence Alignment Pairwise alignment:-Sequence alig Sequence Alignment Pairwise alignment:-
Sequence alig Sequence Alignment Pairwise alignment:-naveed ul mushtaq
 
RNA secondary structure prediction
RNA secondary structure predictionRNA secondary structure prediction
RNA secondary structure predictionMuhammed sadiq
 
Sequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsSequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsNikesh Narayanan
 
Sequencing of protein
Sequencing of proteinSequencing of protein
Sequencing of proteinArunima Sur
 
Gene prediction methods vijay
Gene prediction methods  vijayGene prediction methods  vijay
Gene prediction methods vijayVijay Hemmadi
 
Sequence Submission Tools
Sequence Submission ToolsSequence Submission Tools
Sequence Submission ToolsRishikaMaji
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignmentRamya S
 
Secondary protein structure prediction
Secondary protein structure predictionSecondary protein structure prediction
Secondary protein structure predictionSiva Dharshini R
 
sequence of file formats in bioinformatics
sequence of file formats in bioinformaticssequence of file formats in bioinformatics
sequence of file formats in bioinformaticsnadeem akhter
 
Dynamic programming and pairwise sequence alignment
Dynamic programming and pairwise sequence alignmentDynamic programming and pairwise sequence alignment
Dynamic programming and pairwise sequence alignmentGeethanjaliAnilkumar2
 

What's hot (20)

Sequence alig Sequence Alignment Pairwise alignment:-
Sequence alig Sequence Alignment Pairwise alignment:-Sequence alig Sequence Alignment Pairwise alignment:-
Sequence alig Sequence Alignment Pairwise alignment:-
 
RNA secondary structure prediction
RNA secondary structure predictionRNA secondary structure prediction
RNA secondary structure prediction
 
dot plot analysis
dot plot analysisdot plot analysis
dot plot analysis
 
Structural databases
Structural databases Structural databases
Structural databases
 
Protein data bank
Protein data bankProtein data bank
Protein data bank
 
Sequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsSequence Alignment In Bioinformatics
Sequence Alignment In Bioinformatics
 
Biological database
Biological databaseBiological database
Biological database
 
Scop database
Scop databaseScop database
Scop database
 
Homology modelling
Homology modellingHomology modelling
Homology modelling
 
Dot matrix
Dot matrixDot matrix
Dot matrix
 
Sequencing of protein
Sequencing of proteinSequencing of protein
Sequencing of protein
 
Gene prediction methods vijay
Gene prediction methods  vijayGene prediction methods  vijay
Gene prediction methods vijay
 
Sequence Submission Tools
Sequence Submission ToolsSequence Submission Tools
Sequence Submission Tools
 
Molecular modeling database
Molecular modeling database Molecular modeling database
Molecular modeling database
 
Blast
BlastBlast
Blast
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignment
 
Secondary protein structure prediction
Secondary protein structure predictionSecondary protein structure prediction
Secondary protein structure prediction
 
sequence of file formats in bioinformatics
sequence of file formats in bioinformaticssequence of file formats in bioinformatics
sequence of file formats in bioinformatics
 
Protein protein interactions
Protein protein interactionsProtein protein interactions
Protein protein interactions
 
Dynamic programming and pairwise sequence alignment
Dynamic programming and pairwise sequence alignmentDynamic programming and pairwise sequence alignment
Dynamic programming and pairwise sequence alignment
 

Similar to Molecular visualization

Computational Analysis with ICM
Computational Analysis with ICMComputational Analysis with ICM
Computational Analysis with ICMVernon D Dutch Jr
 
Tertiary structure prediction- MODELLER, RASMOL
Tertiary structure prediction- MODELLER, RASMOLTertiary structure prediction- MODELLER, RASMOL
Tertiary structure prediction- MODELLER, RASMOLkaverinair1
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdfAliAhamd7
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdfAliAhamd7
 
Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...
Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...
Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...NextMove Software
 
HOMOLOGY MODELLING.pptx
HOMOLOGY MODELLING.pptxHOMOLOGY MODELLING.pptx
HOMOLOGY MODELLING.pptxMO.SHAHANAWAZ
 
WRITING ELECTRON CONFIGURATION.pptx
WRITING ELECTRON CONFIGURATION.pptxWRITING ELECTRON CONFIGURATION.pptx
WRITING ELECTRON CONFIGURATION.pptxEVELIASADULLO1
 
Lecture1 - Crystal Properaties and planes.pptx
Lecture1 - Crystal Properaties and planes.pptxLecture1 - Crystal Properaties and planes.pptx
Lecture1 - Crystal Properaties and planes.pptxMussaab Ibrahim Niass
 
structural biology-Protein structure function relationship
structural biology-Protein structure function relationshipstructural biology-Protein structure function relationship
structural biology-Protein structure function relationshipMSCW Mysore
 
Molecular dynamics and Simulations
Molecular dynamics and SimulationsMolecular dynamics and Simulations
Molecular dynamics and SimulationsAbhilash Kannan
 
CHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitals
CHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitalsCHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitals
CHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitalsCharilyn Cruz
 
Continuum biomechanics modeling of homologue proteins
Continuum biomechanics modeling of homologue proteinsContinuum biomechanics modeling of homologue proteins
Continuum biomechanics modeling of homologue proteinsRegine Labog
 
Amino acid interaction network prediction using multi objective optimization
Amino acid interaction network prediction using multi objective optimizationAmino acid interaction network prediction using multi objective optimization
Amino acid interaction network prediction using multi objective optimizationcsandit
 
PROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINE
PROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINEPROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINE
PROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINEijsc
 
Protein Structure Prediction Using Support Vector Machine
Protein Structure Prediction Using Support Vector Machine  Protein Structure Prediction Using Support Vector Machine
Protein Structure Prediction Using Support Vector Machine ijsc
 
AMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATION
AMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATIONAMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATION
AMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATIONcscpconf
 

Similar to Molecular visualization (20)

Computational Analysis with ICM
Computational Analysis with ICMComputational Analysis with ICM
Computational Analysis with ICM
 
Tertiary structure prediction- MODELLER, RASMOL
Tertiary structure prediction- MODELLER, RASMOLTertiary structure prediction- MODELLER, RASMOL
Tertiary structure prediction- MODELLER, RASMOL
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdf
 
homology modellign lecture .pdf
homology modellign lecture .pdfhomology modellign lecture .pdf
homology modellign lecture .pdf
 
Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...
Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...
Macromolecules or Big Small Molecules? Handling biopolymers in a chemical reg...
 
HOMOLOGY MODELLING.pptx
HOMOLOGY MODELLING.pptxHOMOLOGY MODELLING.pptx
HOMOLOGY MODELLING.pptx
 
Molecular modelling (1)
Molecular modelling (1)Molecular modelling (1)
Molecular modelling (1)
 
Internal coordinate mechanics
Internal coordinate mechanicsInternal coordinate mechanics
Internal coordinate mechanics
 
Ch 9 section 3 to 5
Ch 9 section 3 to 5Ch 9 section 3 to 5
Ch 9 section 3 to 5
 
WRITING ELECTRON CONFIGURATION.pptx
WRITING ELECTRON CONFIGURATION.pptxWRITING ELECTRON CONFIGURATION.pptx
WRITING ELECTRON CONFIGURATION.pptx
 
Lecture1 - Crystal Properaties and planes.pptx
Lecture1 - Crystal Properaties and planes.pptxLecture1 - Crystal Properaties and planes.pptx
Lecture1 - Crystal Properaties and planes.pptx
 
structural biology-Protein structure function relationship
structural biology-Protein structure function relationshipstructural biology-Protein structure function relationship
structural biology-Protein structure function relationship
 
Molecular dynamics and Simulations
Molecular dynamics and SimulationsMolecular dynamics and Simulations
Molecular dynamics and Simulations
 
CHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitals
CHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitalsCHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitals
CHEMICAL BONDING II: Molecular geometry and Hybridization of Atomic orbitals
 
Continuum biomechanics modeling of homologue proteins
Continuum biomechanics modeling of homologue proteinsContinuum biomechanics modeling of homologue proteins
Continuum biomechanics modeling of homologue proteins
 
Amino acid interaction network prediction using multi objective optimization
Amino acid interaction network prediction using multi objective optimizationAmino acid interaction network prediction using multi objective optimization
Amino acid interaction network prediction using multi objective optimization
 
2E8_Semiconductors_2014.ppt
2E8_Semiconductors_2014.ppt2E8_Semiconductors_2014.ppt
2E8_Semiconductors_2014.ppt
 
PROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINE
PROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINEPROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINE
PROTEIN STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINE
 
Protein Structure Prediction Using Support Vector Machine
Protein Structure Prediction Using Support Vector Machine  Protein Structure Prediction Using Support Vector Machine
Protein Structure Prediction Using Support Vector Machine
 
AMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATION
AMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATIONAMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATION
AMINO ACID INTERACTION NETWORK PREDICTION USING MULTI-OBJECTIVE OPTIMIZATION
 

More from Alen Shaji

Temperate forests and tropical rain forests
Temperate forests and tropical rain forestsTemperate forests and tropical rain forests
Temperate forests and tropical rain forestsAlen Shaji
 
Seasonal variation in cambial activity
Seasonal variation in cambial activitySeasonal variation in cambial activity
Seasonal variation in cambial activityAlen Shaji
 
Species concept
Species conceptSpecies concept
Species conceptAlen Shaji
 
Bryophytes as ecological indicators
Bryophytes as ecological indicatorsBryophytes as ecological indicators
Bryophytes as ecological indicatorsAlen Shaji
 
Gene targeting and sequence tags
Gene targeting and sequence tagsGene targeting and sequence tags
Gene targeting and sequence tagsAlen Shaji
 
Cell signaling
Cell signalingCell signaling
Cell signalingAlen Shaji
 
Immobilization of enzymes
Immobilization of enzymesImmobilization of enzymes
Immobilization of enzymesAlen Shaji
 
Impact of biotechnology
Impact of biotechnologyImpact of biotechnology
Impact of biotechnologyAlen Shaji
 

More from Alen Shaji (11)

Gymnosperms
GymnospermsGymnosperms
Gymnosperms
 
Pteridophytes
PteridophytesPteridophytes
Pteridophytes
 
Temperate forests and tropical rain forests
Temperate forests and tropical rain forestsTemperate forests and tropical rain forests
Temperate forests and tropical rain forests
 
Seasonal variation in cambial activity
Seasonal variation in cambial activitySeasonal variation in cambial activity
Seasonal variation in cambial activity
 
Species concept
Species conceptSpecies concept
Species concept
 
Bryophytes as ecological indicators
Bryophytes as ecological indicatorsBryophytes as ecological indicators
Bryophytes as ecological indicators
 
Gene targeting and sequence tags
Gene targeting and sequence tagsGene targeting and sequence tags
Gene targeting and sequence tags
 
Cell signaling
Cell signalingCell signaling
Cell signaling
 
Chlorophyta
ChlorophytaChlorophyta
Chlorophyta
 
Immobilization of enzymes
Immobilization of enzymesImmobilization of enzymes
Immobilization of enzymes
 
Impact of biotechnology
Impact of biotechnologyImpact of biotechnology
Impact of biotechnology
 

Recently uploaded

Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...
Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...
Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...Sérgio Sacani
 
Quantifying Artificial Intelligence and What Comes Next!
Quantifying Artificial Intelligence and What Comes Next!Quantifying Artificial Intelligence and What Comes Next!
Quantifying Artificial Intelligence and What Comes Next!University of Hertfordshire
 
dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...
dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...
dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...dkNET
 
THE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPES
THE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPESTHE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPES
THE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPESkushbuR
 
Mining Activity and Investment Opportunity in Myanmar.pptx
Mining Activity and Investment Opportunity in Myanmar.pptxMining Activity and Investment Opportunity in Myanmar.pptx
Mining Activity and Investment Opportunity in Myanmar.pptxKyawThanTint
 
Heat Units in plant physiology and the importance of Growing Degree days
Heat Units in plant physiology and the importance of Growing Degree daysHeat Units in plant physiology and the importance of Growing Degree days
Heat Units in plant physiology and the importance of Growing Degree daysBrahmesh Reddy B R
 
short range interaction for protein and factors influencing or affecting the ...
short range interaction for protein and factors influencing or affecting the ...short range interaction for protein and factors influencing or affecting the ...
short range interaction for protein and factors influencing or affecting the ...HeenaDagar
 
RACEMIzATION AND ISOMERISATION completed.pptx
RACEMIzATION AND ISOMERISATION completed.pptxRACEMIzATION AND ISOMERISATION completed.pptx
RACEMIzATION AND ISOMERISATION completed.pptxArunLakshmiMeenakshi
 
Fun for mover student's book- English book for teaching.pdf
Fun for mover student's book- English book for teaching.pdfFun for mover student's book- English book for teaching.pdf
Fun for mover student's book- English book for teaching.pdfhoangquan21999
 
Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...
Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...
Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...TALAPATI ARUNA CHENNA VYDYANAD
 
GBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationGBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationAreesha Ahmad
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
 
EU START PROJECT. START-Newsletter_Issue_4.pdf
EU START PROJECT. START-Newsletter_Issue_4.pdfEU START PROJECT. START-Newsletter_Issue_4.pdf
EU START PROJECT. START-Newsletter_Issue_4.pdfStart Project
 
TEST BANK for Organic Chemistry 6th Edition.pdf
TEST BANK for Organic Chemistry 6th Edition.pdfTEST BANK for Organic Chemistry 6th Edition.pdf
TEST BANK for Organic Chemistry 6th Edition.pdfmarcuskenyatta275
 
Lubrication System in forced feed system
Lubrication System in forced feed systemLubrication System in forced feed system
Lubrication System in forced feed systemADB online India
 
MSCII_ FCT UNIT 5 TOXICOLOGY.pdf
MSCII_              FCT UNIT 5 TOXICOLOGY.pdfMSCII_              FCT UNIT 5 TOXICOLOGY.pdf
MSCII_ FCT UNIT 5 TOXICOLOGY.pdfSuchita Rawat
 
POST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptx
POST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptxPOST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptx
POST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptxArpitaMishra69
 
Film Coated Tablet and Film Coating raw materials.pdf
Film Coated Tablet and Film Coating raw materials.pdfFilm Coated Tablet and Film Coating raw materials.pdf
Film Coated Tablet and Film Coating raw materials.pdfPharmatech-rx
 
GBSN - Microbiology (Unit 7) Microbiology in Everyday Life
GBSN - Microbiology (Unit 7) Microbiology in Everyday LifeGBSN - Microbiology (Unit 7) Microbiology in Everyday Life
GBSN - Microbiology (Unit 7) Microbiology in Everyday LifeAreesha Ahmad
 
MODERN PHYSICS_REPORTING_QUANTA_.....pdf
MODERN PHYSICS_REPORTING_QUANTA_.....pdfMODERN PHYSICS_REPORTING_QUANTA_.....pdf
MODERN PHYSICS_REPORTING_QUANTA_.....pdfRevenJadePalma
 

Recently uploaded (20)

Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...
Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...
Emergent ribozyme behaviors in oxychlorine brines indicate a unique niche for...
 
Quantifying Artificial Intelligence and What Comes Next!
Quantifying Artificial Intelligence and What Comes Next!Quantifying Artificial Intelligence and What Comes Next!
Quantifying Artificial Intelligence and What Comes Next!
 
dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...
dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...
dkNET Webinar: The 4DN Data Portal - Data, Resources and Tools to Help Elucid...
 
THE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPES
THE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPESTHE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPES
THE GENERAL PROPERTIES OF PROTEOBACTERIA AND ITS TYPES
 
Mining Activity and Investment Opportunity in Myanmar.pptx
Mining Activity and Investment Opportunity in Myanmar.pptxMining Activity and Investment Opportunity in Myanmar.pptx
Mining Activity and Investment Opportunity in Myanmar.pptx
 
Heat Units in plant physiology and the importance of Growing Degree days
Heat Units in plant physiology and the importance of Growing Degree daysHeat Units in plant physiology and the importance of Growing Degree days
Heat Units in plant physiology and the importance of Growing Degree days
 
short range interaction for protein and factors influencing or affecting the ...
short range interaction for protein and factors influencing or affecting the ...short range interaction for protein and factors influencing or affecting the ...
short range interaction for protein and factors influencing or affecting the ...
 
RACEMIzATION AND ISOMERISATION completed.pptx
RACEMIzATION AND ISOMERISATION completed.pptxRACEMIzATION AND ISOMERISATION completed.pptx
RACEMIzATION AND ISOMERISATION completed.pptx
 
Fun for mover student's book- English book for teaching.pdf
Fun for mover student's book- English book for teaching.pdfFun for mover student's book- English book for teaching.pdf
Fun for mover student's book- English book for teaching.pdf
 
Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...
Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...
Virulence Analysis of Citrus canker caused by Xanthomonas axonopodis pv. citr...
 
GBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolationGBSN - Microbiology (Unit 5) Concept of isolation
GBSN - Microbiology (Unit 5) Concept of isolation
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
 
EU START PROJECT. START-Newsletter_Issue_4.pdf
EU START PROJECT. START-Newsletter_Issue_4.pdfEU START PROJECT. START-Newsletter_Issue_4.pdf
EU START PROJECT. START-Newsletter_Issue_4.pdf
 
TEST BANK for Organic Chemistry 6th Edition.pdf
TEST BANK for Organic Chemistry 6th Edition.pdfTEST BANK for Organic Chemistry 6th Edition.pdf
TEST BANK for Organic Chemistry 6th Edition.pdf
 
Lubrication System in forced feed system
Lubrication System in forced feed systemLubrication System in forced feed system
Lubrication System in forced feed system
 
MSCII_ FCT UNIT 5 TOXICOLOGY.pdf
MSCII_              FCT UNIT 5 TOXICOLOGY.pdfMSCII_              FCT UNIT 5 TOXICOLOGY.pdf
MSCII_ FCT UNIT 5 TOXICOLOGY.pdf
 
POST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptx
POST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptxPOST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptx
POST TRANSCRIPTIONAL GENE SILENCING-AN INTRODUCTION.pptx
 
Film Coated Tablet and Film Coating raw materials.pdf
Film Coated Tablet and Film Coating raw materials.pdfFilm Coated Tablet and Film Coating raw materials.pdf
Film Coated Tablet and Film Coating raw materials.pdf
 
GBSN - Microbiology (Unit 7) Microbiology in Everyday Life
GBSN - Microbiology (Unit 7) Microbiology in Everyday LifeGBSN - Microbiology (Unit 7) Microbiology in Everyday Life
GBSN - Microbiology (Unit 7) Microbiology in Everyday Life
 
MODERN PHYSICS_REPORTING_QUANTA_.....pdf
MODERN PHYSICS_REPORTING_QUANTA_.....pdfMODERN PHYSICS_REPORTING_QUANTA_.....pdf
MODERN PHYSICS_REPORTING_QUANTA_.....pdf
 

Molecular visualization

  • 2. INTRODUCTION  Looking at molecular models in order to explore and understand them.  Does not necessarily involve molecular modeling (changing the existing model).  Macromolecules – Protein, DNA, RNA, or their complexes.  3-D view of different molecules on the computer.
  • 3. REPRESENTATIONS OF MOLECULAR MODELS ATOMIC REPRESENTATION  It includes ball and stick, stick (wireframe), and spacefilling.  These representations show positions of atoms and covalent bonds.
  • 4. SLABBING  A usefull way to see atomic details of a small part of a large macromolecular model is to centre the moiety of interest, and then cut away front and back portions of the molecules.  It is usefull to see buried structures and their environments, such as the hydrophobic core of a protein domain.  It can be done using FirstGlance in Jmol.
  • 5. SIMPLIFIED SCHEMATIC REPRESENTATIONS BACKBONES  Simplified representations of the polypeptide backbone or main chain, are very helpful in understanding structure when it comes to large molecules such as Proteins, DNA, RNA, and their complexes.  Using FirstGlance in Jmol.
  • 6. DISULFIDE BONDS  FirstGlance in Jmol highlights disulfide bonds in one click, and has several options for rendinering and coloring them.
  • 7. COLOUR SCHEMES FOR MACROMOLECULES  A set of standard color schemes for macromolecules, called DRuMS, was released in 2000.  Colors for chemical elements.
  • 8. STRUCTURAL ANALYSIS  Molecular function.  Prediction of function.  Experimental design to test predictions.
  • 9. TYPES OF MOLECULAR VISUALIZATION  WIRE FRAME MODEL.  BALL AND STICK MODEL.  RIBBON SHAPED MODEL.  SPACE FILLING.  SIMPLE HARMONIC MODEL.  BACKBONE.  SURFACE.
  • 10. WIRE FRAME MODEL  Skeletal form of molecules – represent as wires.  Network of wire.  Line represents the bonds.  Shows individual bonds and corresponding angles.
  • 11. RIBBON SHAPED MODEL  Spherical or cylindrical ribbons.  Display the folding and structure of proteins.
  • 12. BALL AND STICK MODEL  Ball represents the atoms.  Stick represents the bonds.  Shows atomic positions and bonds and volume.
  • 13. SIMPLE HARMONIC MODEL  Only represents grooves and projections in the molecules.
  • 14. SPACE FILLING  Spheres represents the electro cloud around nuclei of atoms.  Relative size of atoms and groups show up clearly.  Merged spheres represents the sharing of electrons.
  • 15. RasMol  Most frequently available tool.  Derived from Raster and molecules.  Molecular graphics programe.  For visualizing proteins, nucleic acid and small molecules for which 3-D structures is available.  In order to display molecules, RasMol requires atomic coordinate file that specifies the position of every atom in the molecule through its 3-D Cartesian coordinates.  RasMol accept this coordinate file variety of formats including Protein Data Bank format.
  • 16.  It provides user a choice of colour schemes and molecular representation.  Additional features including test labelling for slected atoms, different colour schemes of different parts of the molecule, zoom, rotation etc.
  • 17. REFERENCE  Jin Xiong (2007) Essential Bioinformatics, Cambridge University, PressIndia, Pvt LTD.  Wikipedia - Molecular Visualization, Bioinformatics.